Triple
T25773711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Ko |
E649087
|
entity |
| Predicate | entrepreneurialReputation |
P87297
|
FINISHED |
| Object | self-made beauty entrepreneur |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: self-made beauty entrepreneur | Statement: [Toni Ko, entrepreneurialReputation, self-made beauty entrepreneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entrepreneurialReputation Context triple: [Toni Ko, entrepreneurialReputation, self-made beauty entrepreneur]
-
A.
commercialReputation
Indicates the perceived standing or esteem of an entity in a commercial or business context, based on others’ experiences, opinions, or evaluations.
-
B.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
C.
reputationBuiltFor
Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
-
D.
internationalReputation
Indicates the recognized standing, esteem, or status an entity holds within the global or international community.
-
E.
institutionalReputationContext
Indicates the situational or environmental factors that shape or influence an institution’s reputation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fe5b23ac81908ff1b6f06911f45b |
completed | May 2, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 5:32 a.m.